Kedis ku xidhan hagaha · Dhexdhexaad Heerka

AI ee Soo koobida Dhigista iyo Kediska Diyaarinta

Wuxuu tijaabiyaa saddexda nooc ee soo koobida meel dhigista, sababta ilaalinta bogga iyo tirooyinka laynka ay muhiim ugu tahay AI, iyo sida loo jeexjeexo iswaafaqsanaanta calamada AI ee maragti ahaan.

Wadooyinka haga ee la xidhiidhaSoo koobida Dhigista AI iyo Diyaarinta
Su'aal 1 ee 8

Noocee ah kooxaha soo koobida dhigaalka ayaa ka marag kacaya arrintu halkii ay raaci lahaayeen amarka qoraalka?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Noocee ah kooxaha soo koobida dhigaalka ayaa ka marag kacaya arrintu halkii ay raaci lahaayeen amarka qoraalka?
    • Page-line summary
    • Narrative summary
    • Errata summary
    • Topical summary
  2. Muxuu haguhu uga digay quudinta AI qoraal qabyo qalafsan?
    • It may contain errors the model will repeat in the summary
    • AI tools cannot read rough drafts
    • Rough drafts are always privileged
    • Rough drafts lack any speaker labels
  3. Waa maxay beenta guud ee beenta ah marka AI ay raadiso iswaafaq la'aanta markhaatiga?
    • Flagging a date written in a different format
    • Missing every contradiction in the transcript
    • Treating a clarified answer as a contradiction
    • Refusing to compare more than one witness
  4. Maxay tahay sababta amarada ilaalintu ay muhiim u yihiin marka la soo rarayo qoraalada iibiyaha AI?
    • They require AI summaries to be filed with the court
    • They may limit who can receive confidential testimony, so the upload must fit their terms
    • They ban all electronic copies of transcripts
    • They only apply to video depositions
  5. Maxay tahay in la isticmaalo marka la xukumayo markhaati leh marag hore oo laga helay AI?
    • The AI's summary of the testimony
    • A paraphrase approved by the court reporter
    • The rough draft transcript
    • An exact quote from the certified transcript with page and line
  6. What happens when page and line numbers are stripped from a transcript before AI processing?
    • The model runs faster and cites more accurately
    • The court reporter must recertify it
    • The model has to guess locations, producing wrong citations
    • Speaker labels are automatically restored
  7. What risk does chunking a long transcript create?
    • It can separate a question from its answer or an answer from a later correction
    • It permanently deletes objections from the record
    • It changes the witness's words
    • It prevents any summary from being generated
  8. For inconsistency searches, what output format does the guide recommend requesting?
    • A single sentence verdict on credibility
    • Both conflicting passages side by side
    • A percentage score of witness honesty
    • Only the later of the two statements